Triple

T12303813
Position Surface form Disambiguated ID Type / Status
Subject Kerr-McGee Oil Industries E293300 entity
Predicate tickerSymbol P1447 FINISHED
Object KMG
KMG was the stock ticker symbol for Kerr-McGee Oil Industries, a former American energy company involved in oil and gas exploration and production.
 E974069 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KMG | Statement: [Kerr-McGee Oil Industries, tickerSymbol, KMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMG
Context triple: [Kerr-McGee Oil Industries, tickerSymbol, KMG]
  • A. KMG
    KMG is the IATA airport code for Kunming Changshui International Airport, a major air transport hub serving Kunming in Yunnan Province, China.
  • B. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road network.
  • C. KMKG
    KMKG is the ICAO airport code for Muskegon County Airport in Muskegon, Michigan, United States.
  • D. KMW
    KMW is a German defense manufacturer best known for producing armored vehicles such as the Leopard 2 main battle tank.
  • E. KMMG
    KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KMG
Triple: [Kerr-McGee Oil Industries, tickerSymbol, KMG]
Generated description
KMG was the stock ticker symbol for Kerr-McGee Oil Industries, a former American energy company involved in oil and gas exploration and production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMG
Target entity description: KMG was the stock ticker symbol for Kerr-McGee Oil Industries, a former American energy company involved in oil and gas exploration and production.
  • A. KMG
    KMG is the IATA airport code for Kunming Changshui International Airport, a major air transport hub serving Kunming in Yunnan Province, China.
  • B. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road network.
  • C. KMKG
    KMKG is the ICAO airport code for Muskegon County Airport in Muskegon, Michigan, United States.
  • D. KMW
    KMW is a German defense manufacturer best known for producing armored vehicles such as the Leopard 2 main battle tank.
  • E. KMMG
    KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edca2648190987eef19599e340c completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5cc5608190a67a888eb5136ada completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62006afcc8190b8e3b55a5fd8eaca completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:53 p.m.